Expression editing method and device based on face analysis

Abstract

The invention relates to the technical field of computer graphics, and particularly relates to an expression editing method and device based on face analysis. The purpose of the invention is to solvethe problem of how to keep figure identity and carryin out expression editing on the expression-free face. In order to achieve the purpose, the expression editing method based on face analysis provided by the invention comprises the following steps: obtaining an expression-containing face analysis image corresponding to an expression-free face image and an expression intensity control code based on a preset face analysis prediction network and according to the expression-free face image and the expression intensity control code which are obtained in advance; And obtaining a target expression image based on a preset face expression editing network and according to the expression-containing face analysis image and the expression-free face image. Based on the above steps, editing of differentintensities and different expressions can be carried out on the face without expressions on the premise of keeping the identity information of the character.

Description

technical field [0001] The invention relates to the technical field of computer graphics, in particular to an expression editing method and device based on face analysis. Background technique [0002] Expression editing is a typical graphics processing technology. Its main task is to convert human facial expressions from source expressions to target expressions while maintaining the character's identity. However, there are still some challenging problems in facial expression editing technology due to the variety of face categories, intensity changes, and texture deformations. [0003] At present, the methods of facial expression editing mainly include image reordering, flow-based methods and 3D reconstruction, etc. The method of image reordering is to use images or image blocks in the database to reorder to approach the target expression. This method is difficult to deal with facial expression editing with large expression changes. The flow-based method first calculates th...

AI Technical Summary

Problems solved by technology

The method of image reordering is to use images or image blocks in the database to reorder to approach the target expression. This method is difficult to deal with facial expression editing with large expression changes.

The flow-based method first calculates the difference between the source domain image and the target domain image on the flow map, and uses the difference information to guide the synthesis of target facial expressions, but its editing effect is not good

Facial expression editing based on 3D reconstruction has good editing effect and performance, but its editing complexity is high and calculation efficiency is low, so it is difficult to popularize and apply

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